A semantic agent ecosystem is a newly networked architecture and collaborative environment that addresses the weakness of client-server, peer-to-peer, grid, and web services. This is an open community, and there is no permanent need for centralized or distributed control or for single-role behavior. In an agent ecosystem, a leadership structure may be formed and dissolved in response to the dynamic needs of the environment (Boley & Chang, 2007).
As described in the graph from the Handbook of Online Learning, Semantic Agent Ecosystems are at the maximum increased social connectitity and the maximum increased knowledge connectivity and reasoning, in other words, where the ubiquitous web connects intelligence.
Semantic Data Space is a complex data management system based on autonomous data space managers, distributed original data sources and supportive ecosystem tools and capabilities. In recent years, complexity of computing environments has grown beyond the restrictions of human system administrators’ management capabilities (Briscoe & Wilde, 2009). Autonomic computing systems are anticipated to free system administrators to focus on higher-level goals. Self-configuration, self-healing and self-optimization can be accomplished by autonomic computing systems without human involvement (Briscoe & Wilde, 2009).
To achieve the vision of ubiquitous Web, the next generation of integration systems will need different methods and techniques such as Semantic Web , Web Services , Agent Technologies and Mobility. Semantic technologies are viewed today as a crucial technology to resolve the difficulties of interoperability and integration within the heterogeneous domain of ubiquitously interconnected objects and systems. It is unmistakable that for two systems to communicate with each other, they have to use a standard language that they can both understand and share a standard ontology. There are different points of view concerning the uniqueness of the ontology. Some think that “one ontology approach” is the best possible solution to have one common standard and avoid ambiguity (Khriyenko & Nagy, 2011).
References
Boley, H. & Chang, E. (2007). Digital Ecosystems: Principles and Semantics . National Research Council of Canada. Cairns, Australia. Pg. 1-2
Briscoe G., & Wilde P., (2009). Digital Ecosystems: Optimisation by a Distributed Intelligence. London, United Kingdom.
Khriyenko, O., Nagy, M., (2011) Semantic Web-driven Agent-based Ecosystem for Linked Data and Services. Jyväskylä, Finland.
Rudestam, K. & Schoenholtz-Read, J. (2010). Handbook of Online Learning. Sage.
Semantic Agent Ecosystem
A semantic agent ecosystem is a newly networked architecture and collaborative environment that addresses the weakness of client-server, peer-to-peer, grid, and web services. This is an open community, and there is no permanent need for centralized or distributed control or for single-role behavior. In an agent ecosystem, a leadership structure may be formed and dissolved in response to the dynamic needs of the environment (Boley & Chang, 2007).
As described in the graph from the Handbook of Online Learning, Semantic Agent Ecosystems are at the maximum increased social connectitity and the maximum increased knowledge connectivity and reasoning, in other words, where the ubiquitous web connects intelligence.
Semantic Data Space is a complex data management system based on autonomous data space managers, distributed original data sources and supportive ecosystem tools and capabilities. In recent years, complexity of computing environments has grown beyond the restrictions of human system administrators’ management capabilities (Briscoe & Wilde, 2009).
Autonomic computing systems are anticipated to free system administrators to focus on higher-level goals. Self-configuration, self-healing and self-optimization can be accomplished by autonomic computing systems without human involvement (Briscoe & Wilde, 2009).
To achieve the vision of ubiquitous Web, the next generation of integration systems will need different methods and techniques such as Semantic Web , Web Services , Agent Technologies and Mobility. Semantic technologies are viewed today as a crucial technology to resolve the difficulties of interoperability and integration within the heterogeneous domain of ubiquitously interconnected objects and systems. It is unmistakable that for two systems to communicate with each other, they have to use a standard language that they can both understand and share a standard ontology. There are different points of view concerning the uniqueness of the ontology. Some think that “one ontology approach” is the best possible solution to have one common standard and avoid ambiguity (Khriyenko & Nagy, 2011).
References
Boley, H. & Chang, E. (2007). Digital Ecosystems: Principles and Semantics . National Research Council of Canada. Cairns, Australia. Pg. 1-2
Briscoe G., & Wilde P., (2009). Digital Ecosystems: Optimisation by a Distributed Intelligence. London, United Kingdom.
Khriyenko, O., Nagy, M., (2011) Semantic Web-driven Agent-based Ecosystem for Linked Data and Services. Jyväskylä, Finland.
Rudestam, K. & Schoenholtz-Read, J. (2010). Handbook of Online Learning. Sage.